{"id":"https://openalex.org/W3001406127","doi":"https://doi.org/10.3390/rs12020339","title":"Arbitrary-Oriented Inshore Ship Detection based on Multi-Scale Feature Fusion and Contextual Pooling on Rotation Region Proposals","display_name":"Arbitrary-Oriented Inshore Ship Detection based on Multi-Scale Feature Fusion and Contextual Pooling on Rotation Region Proposals","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W3001406127","doi":"https://doi.org/10.3390/rs12020339","mag":"3001406127"},"language":"en","primary_location":{"id":"doi:10.3390/rs12020339","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12020339","pdf_url":"https://www.mdpi.com/2072-4292/12/2/339/pdf?version=1579663723","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/2/339/pdf?version=1579663723","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100419137","display_name":"Tian Tian","orcid":"https://orcid.org/0000-0003-0148-4900"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Tian","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"raw_orcid":"https://orcid.org/0000-0003-0148-4900","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014233468","display_name":"Zhihong Pan","orcid":"https://orcid.org/0000-0003-0866-762X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Pan","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004511320","display_name":"Xiangyu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Tan","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013171931","display_name":"Zhengquan Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengquan Chu","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100419137"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.6481,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91562754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"339","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7910633087158203},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6711466908454895},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5844119787216187},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5413200259208679},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5133420825004578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091139674186707},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4942322075366974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44034069776535034},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.42396149039268494},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41954949498176575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41864538192749023},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4121289849281311},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1577998399734497},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09025746583938599},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07586699724197388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7910633087158203},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6711466908454895},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5844119787216187},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5413200259208679},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5133420825004578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091139674186707},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4942322075366974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44034069776535034},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.42396149039268494},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41954949498176575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41864538192749023},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4121289849281311},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1577998399734497},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09025746583938599},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07586699724197388},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12020339","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12020339","pdf_url":"https://www.mdpi.com/2072-4292/12/2/339/pdf?version=1579663723","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2758d7286e8418690d21221c76d17d8","is_oa":true,"landing_page_url":"https://doaj.org/article/d2758d7286e8418690d21221c76d17d8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 2, p 339 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/2/339/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12020339","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 2; Pages: 339","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12020339","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12020339","pdf_url":"https://www.mdpi.com/2072-4292/12/2/339/pdf?version=1579663723","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G1596133006","display_name":null,"funder_award_id":"U1711266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4472205585","display_name":null,"funder_award_id":"No. 41701417 and No. U1711266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5201575397","display_name":null,"funder_award_id":"41701417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7607432661","display_name":null,"funder_award_id":"No. U1711266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3001406127.pdf","grobid_xml":"https://content.openalex.org/works/W3001406127.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W1561797649","https://openalex.org/W2061200049","https://openalex.org/W2064094295","https://openalex.org/W2100503224","https://openalex.org/W2109255472","https://openalex.org/W2183182206","https://openalex.org/W2193145675","https://openalex.org/W2400138547","https://openalex.org/W2472919595","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2594177559","https://openalex.org/W2596246567","https://openalex.org/W2597117158","https://openalex.org/W2613718673","https://openalex.org/W2625829240","https://openalex.org/W2659533854","https://openalex.org/W2733535455","https://openalex.org/W2740578684","https://openalex.org/W2744690378","https://openalex.org/W2747165560","https://openalex.org/W2777326413","https://openalex.org/W2788202095","https://openalex.org/W2791979332","https://openalex.org/W2800324071","https://openalex.org/W2887362407","https://openalex.org/W2890319410","https://openalex.org/W2896903403","https://openalex.org/W2898532184","https://openalex.org/W2899594603","https://openalex.org/W2903141337","https://openalex.org/W2912147220","https://openalex.org/W2922225410","https://openalex.org/W2937303171","https://openalex.org/W2966907728","https://openalex.org/W2968090415","https://openalex.org/W2973455398","https://openalex.org/W2982399281","https://openalex.org/W2991616984","https://openalex.org/W3099008583","https://openalex.org/W3106228955","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W3150911153","https://openalex.org/W1964874708","https://openalex.org/W2376139976","https://openalex.org/W4327500857","https://openalex.org/W4311223090","https://openalex.org/W1689909837","https://openalex.org/W2965994363","https://openalex.org/W4205729548","https://openalex.org/W1895541646","https://openalex.org/W4301521271"],"abstract_inverted_index":{"Inshore":[0],"ship":[1,103,157,200],"detection":[2,34],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,46,69,162],"many":[8],"civilian":[9],"and":[10,17,23,42,64,101,110,154,183],"military":[11],"applications.":[12],"The":[13],"complex":[14],"land":[15],"environment":[16],"the":[18,88,95,120,123,167,176],"diversity":[19],"of":[20,74,97,119,125,172,178,197],"target":[21,99],"sizes":[22],"distributions":[24],"make":[25],"it":[26],"still":[27],"challenging":[28],"for":[29,94],"us":[30],"to":[31,38,71,82,165,193],"obtain":[32,83],"accurate":[33,98],"results.":[35],"In":[36],"order":[37,70],"achieve":[39,194],"precise":[40],"localization":[41,100],"suppress":[43],"false":[44,133],"alarms,":[45,134],"this":[47],"paper,":[48],"we":[49,135],"propose":[50],"a":[51,55,105,126,155],"framework":[52],"which":[53],"integrates":[54],"multi-scale":[56,84],"feature":[57,90,139],"fusion":[58],"network,":[59],"rotation":[60,106,127,142],"region":[61,107,143],"proposal":[62,108],"network":[63,109],"contextual":[65],"pooling":[66,140],"together.":[67],"Specifically,":[68],"describe":[72],"ships":[73],"various":[75],"sizes,":[76],"different":[77],"convolutional":[78],"layers":[79],"are":[80,114,160],"fused":[81],"features":[85],"based":[86],"on":[87,117,141],"baseline":[89],"extraction":[91],"network.":[92],"Then,":[93],"purpose":[96],"arbitrary-oriented":[102,198],"detection,":[104],"skew":[111],"non-maximum":[112],"suppression":[113],"employed.":[115],"Finally,":[116],"account":[118],"disadvantages":[121],"that":[122,187],"employment":[124],"bounding":[128],"box":[129],"usually":[130],"causes":[131],"more":[132],"implement":[136],"inclined":[137],"context":[138],"proposals.":[144],"A":[145],"dataset":[146,158],"including":[147],"port":[148],"images":[149],"collected":[150],"from":[151],"Google":[152],"Earth":[153],"public":[156],"HRSC2016":[159],"employed":[161],"our":[163,188],"experiments":[164],"test":[166],"proposed":[168,189],"method.":[169],"Experimental":[170],"results":[171,185],"model":[173],"analysis":[174],"validate":[175],"contribution":[177],"each":[179],"module":[180],"mentioned":[181],"above,":[182],"contrast":[184],"show":[186],"pipeline":[190],"is":[191],"able":[192],"state-of-the-art":[195],"performance":[196],"inshore":[199],"detection.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-01-30T00:00:00"}
